ArticlePLoS computational biology2020
Cortical ignition dynamics is tightly linked to the core organisation of the human connectome.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Arousal-driven critical roaming reproduces human functional connectivity dynamics.PLoS biology · 2026Article
- Sensitivity analysis enlightens effects of connectivity in a Neural Mass Model under Control-Target mode.PLoS computational biology · 2026Article
- The Neural and Computational Architecture of Feedback Dynamics in Mouse Cortex during Stimulus Report.eNeuro · 2024Article
- A robust core architecture of functional brain networks supports topological resilience and cognitive performance in middle- and old-aged adults.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- A perturbative approach to study information communication in brain networks.Network neuroscience (Cambridge, Mass.) · 2022Article
- Integrated world modeling theory expanded: Implications for the future of consciousness.Frontiers in computational neuroscience · 2022Article
- The Radically Embodied Conscious Cybernetic Bayesian Brain: From Free Energy to Free Will and Back Again.Entropy (Basel, Switzerland) · 2021Article
- An ESR Framework for the Study of Consciousness.Entropy (Basel, Switzerland) · 2021Article
- Structural Features of the Human Connectome That Facilitate the Switching of Brain Dynamics via Noradrenergic Neuromodulation.Frontiers in computational neuroscience · 2021Article
- Relations between large-scale brain connectivity and effects of regional stimulation depend on collective dynamical state.PLoS computational biology · 2020Article
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4 authors.
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Abstract
The capability of cortical regions to flexibly sustain an "ignited" state of activity has been discussed in relation to conscious perception or hierarchical information processing. Here, we investigate how the intrinsic propensity of different regions to get ignited is determined by the specific topological organisation of the structural connectome. More specifically, we simulated the resting-state dynamics of mean-field whole-brain models and assessed how dynamic multistability and ignition differ between a reference model embedding a realistic human connectome, and alternative models based on a variety of randomised connectome ensembles. We found that the strength of global excitation needed to first trigger ignition in a subset of regions is substantially smaller for the model embedding the empirical human connectome. Furthermore, when increasing the strength of excitation, the propagation of ignition outside of this initial core-which is able to self-sustain its high activity-is way more gradual than for any of the randomised connectomes, allowing for graded control of the number of ignited regions. We explain both these assets in terms of the exceptional weighted core-shell organisation of the empirical connectome, speculating that this topology of human structural connectivity may be attuned to support enhanced ignition dynamics.
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